CN111899517A - Expressway fatigue driving illegal behavior determination method - Google Patents
Expressway fatigue driving illegal behavior determination method Download PDFInfo
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Abstract
The invention discloses a method for judging the fatigue driving illegal behaviors of a highway, which extracts video streams and bayonet images of a bayonet system of a public security traffic administration department in a highway jurisdiction, analyzes and processes the video streams and the bayonet images and converts the video streams and the bayonet images into structured data; measuring and calculating the average speed of the target vehicle type in each checkpoint interval of the jurisdiction area so as to obtain the passing time of the target vehicle type in the interval, and setting a data comparison interval by taking the sum of the passing time of the vehicle in each interval as a reference; comparing the driving mileage of the vehicle with the interval reference mileage of which the driving time in the district reaches 4 hours with the interval reference mileage, and preliminarily judging whether the target vehicle has illegal behaviors that the continuous driving time exceeds 4 hours and is not stopped or the time for stopping and having a rest is not 20 minutes; the invention has the beneficial effects that: and (3) extracting and judging by combining the comprehensive factors such as the vehicle running time, the running mileage, the driver characteristics and the like, and obtaining and recording the fatigue driving illegal behaviors which accord with the judgment rules and can form an effective evidence chain.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a method for judging illegal behaviors of fatigue driving on a highway.
Background
According to the definition of illegal behaviors of fatigue driving by the road traffic safety law, namely, the behaviors that the motor vehicle is driven for not more than 4 hours without parking rest or the parking rest time is less than 20 minutes are not required to be continuously driven.
The illegal behaviors of fatigue driving of commercial vehicles still exist generally. In recent years, service infrastructure is perfected on part of the expressway through measures such as newly building a bay type parking belt, opening up a temporary parking area and the like, the problem of insufficient vehicle parking and rest resources is relieved, meanwhile, along with the continuous development of expressway traffic control departments for propaganda aiming at fatigue driving harm, the proportion of operating vehicle drivers willing to rest and actively rest is continuously increased, and accidents caused by fatigue driving on the expressway at night are reduced to some extent. But under the drive of benefits, a certain proportion of commercial enterprises and drivers still hold the luck psychologically rather than rest, so the prevention and treatment work of the fatigue driving on the highway still needs to be strengthened.
The existing measures for preventing and treating fatigue driving are low in efficiency and limited in effect. The illegal behaviors of fatigue driving are hidden and not easy to find, the prevention and treatment means of the current public security traffic control department for fatigue driving are few, and most of the prevention and treatment means are passive reminding law enforcement, and the public security traffic control department does not research an active anti-fatigue and anti-negotiation measure with high efficiency and good effect in the aspect of national scope. At present, fatigue driving prevention and treatment work is mainly carried out through service areas and toll stations by an import filtration type fatigue prevention method, a large amount of police force is required to be input to guide mainline vehicles into the service areas to carry out manual one-to-one type vehicle-by-vehicle fatigue prevention reminding, due to the lack of effective screening means, a policeman cannot identify whether fatigue driving illegal behaviors exist in inspected drivers, and therefore inspection and reminding can only be carried out nondifferentiarily, and the fatigue prevention effect cannot be accurately evaluated. In addition, the traffic department accesses the 'two-passenger-one-dangerous' enterprise vehicle GPS data, the data is derived from the average of different enterprises, so that the data quality is uneven, the hysteresis of part of the data is serious, the data reliability and the usability are poor, and meanwhile, the public security policemen cannot qualitatively check the possible fatigue driving illegal behaviors because whether the vehicle is driven by the same driver all the time cannot be judged.
The current anti-fatigue driving science and technology product can not satisfy the management demand. Currently, three types of active anti-fatigue driving detection products which are mainstream at home and abroad are face feature detection equipment developed based on a computer vision system, vehicle driving feature early warning equipment developed based on a remote sensing technology and monitoring and recognition equipment based on driver physiological hormone feature induction. The three types of equipment are vehicle-mounted equipment, mainly remind a driver to pay attention to parking and rest through a voice system in a vehicle, the fatigue driving early warning equipment is not installed in a factory along with the vehicle, a transportation enterprise or a vehicle owner needs to purchase additionally, and meanwhile, due to the fact that the price is high, few transportation enterprises or vehicle owners are willing to accept and actively purchase and install, so that the vehicle-mounted fatigue driving detection equipment faces the problem of difficulty in popularization in the current stage of social and economic development in China, and meanwhile, the data of the equipment is the same as that of vehicle-mounted GPS data, and can not become effective evidence for judging that fatigue driving exists in a driver by a management department.
Therefore, a fatigue driving prevention and treatment measure which is efficient, highly targeted and has accurate recognition capability is urgently needed.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a reasonable-design method for judging the illegal fatigue driving behaviors on the highway.
The technical scheme of the invention is as follows:
a method for judging illegal behaviors of fatigue driving on a highway is characterized by comprising the following steps:
1) extracting video streams and bayonet images of a bayonet system in a highway jurisdiction, analyzing, processing and converting the video streams and the bayonet images into structured data, wherein the structured data comprises a vehicle number plate, a number plate color, a vehicle type, time for a vehicle to be captured by the bayonet system and a vehicle speed for the vehicle to pass through the bayonet system;
2) screening and comparing the structured data by utilizing a normal distribution technology, grouping vehicles running on the expressway by taking the vehicle type, the vehicle speed of the vehicle passing through a gate system and the time of the vehicle captured by the gate system as screening conditions, measuring and calculating the intermediate speed value of the target vehicle type in the normal running of each gate interval in the jurisdiction so as to obtain the normal running time value of the target vehicle type in the interval, and setting a data comparison interval by taking the sum of the passing time of the vehicle in each interval as reference;
3) comparing the vehicle driving mileage with an interval reference mileage, wherein the driving time of the vehicle reaches 4 hours in the jurisdiction, the interval reference mileage is compared, whether the target vehicle has illegal behaviors that the continuous driving time exceeds 4 hours and is not stopped or the parking time has not been stopped for 20 minutes is preliminarily judged, and data collision comparison is carried out on data fields of a vehicle number plate, the vehicle driving time and the vehicle driving mileage by using an artificial intelligence technology of big data and cloud computing, so that the suspected vehicle with the illegal behaviors of fatigue driving is preliminarily screened out;
4) then, manually checking the characteristic information of the driver in the bayonet picture for the second time, and obtaining evidence and checking and warehousing data of the continuous driving behavior of the same driver to form off-site illegal data information;
5) and finally, automatically pushing the off-site illegal data information to the police power of the nearby road surface through a public security mobile police system, and realizing accurate management and control of key suspect vehicles.
The method for judging the illegal behavior of the fatigue driving on the expressway is characterized in that if T1+ T2+ T3+ T4=4 hours in the step 3), S1+ S2+ S3+ S4= S, S is the mileage of 4 hours of continuous driving under the normal condition of a target vehicle type, and S can be used as a reference value for judging whether the fatigue driving behavior exists in the jurisdiction of the target vehicle by using a system; t1, T2, T3 and T4 respectively indicate the travel time in section 1, section 2, section 3 and section 4, and S1, S2, S3 and S4 respectively indicate the number of travel steps in section 1, section 2, section 3 and section 4;
the driving mileage when the continuous driving time of the vehicle a reaches 4 hours is represented by Sa, which is calculated from the time when the vehicle a passes through the gate 1:
3.1) if Sa is less than S, the vehicle A is stopped in the middle of passing through the section 1, the section 2, the section 3 and the section 4, the probability of fatigue driving of the driver is low, and the system can automatically exclude the vehicle A from the screening range;
3.2) if Sa is greater than or equal to S, the fact that the vehicle A does not stop in the passing interval 1, the interval 2, the interval 3 and the interval 4 indicates that the driver may continuously drive the motor vehicle for 4 hours, the system can bring the vehicle A into a suspected vehicle primary screening library, and further judge whether fatigue driving behaviors exist according to the passing time Ta5 of the vehicle A in the interval 5;
3.3) if Ta5 is more than or equal to T5+20 minutes, the possibility that the vehicle A stops and has a rest for 20 minutes in the interval 5 is high, the system automatically excludes the suspected vehicle primary screening library, wherein T5 is the running time in the interval 5;
3.4) if Ta5 is less than T5+20 minutes, the vehicle A has larger fatigue driving possibility, and the system can mark the vehicle A as a fatigue driving vehicle and transfer the vehicle A to an off-site proofreading library for manual proofreading;
the method for judging the illegal fatigue driving behaviors on the expressway is characterized in that the interface system in the step 1) adopts a local database: such as a skynet project bayonet system or a snow project bayonet system.
The method for judging the fatigue driving illegal behaviors of the expressway is characterized in that the interface system in the step 1) adopts a same-network heterogeneous database: for example, various mutually independent bayonet system databases built by police departments of different police types and different regional police departments in the public security information network are associated and fused with vehicle passing data pushed by the traffic industry department, and the structured data are automatically compared with information to remove repeated data in the data, so that the repeated data are fused into a new data pool, and the monitoring range of the vehicle is expanded.
The method for judging the illegal fatigue driving behaviors on the expressway is characterized in that the step 4) specifically comprises the following steps: the checking personnel compares the appearance and the clothing dominant characteristics of the driver through the vehicle-passing pictures of all the checkpoints along the total interval of the vehicle A extracted by the comparison system, judges whether the vehicle A is driven by a single driver in the running process in the total interval, and if so, can determine the illegal behaviors of fatigue driving and take the illegal behaviors into an off-site library for punishment; otherwise, the related data is deleted.
The invention has the beneficial effects that: the system takes the vehicle driving mileage and the vehicle driving time as reference values, automatically screens vehicles with the suspected fatigue driving violation, then manually and continuously compares the snap images of the suspected vehicles at the bayonets along the line, extracts and judges the comprehensive factors such as the vehicle driving time, the vehicle driving mileage and the driver characteristics, and obtains and inputs the fatigue driving violation behaviors which accord with judgment rules and can form an effective evidence chain.
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FIG. 1 is a diagram illustrating bayonet information according to the present invention;
in the figure: the bayonets 1, 2, 3, 4, 5 and 6 respectively represent bayonet systems sequentially arranged in a vehicle driving total interval;
s1, 2, 3, 4 and 5 respectively represent interval mileage between adjacent bayonet systems;
v1, 2, 3, 4, and 5 represent the median or average of the median vehicle speed in the relevant gates, respectively, and the speed may be the actual speed value of the interval measured by the interval speed measurement system;
t1, 2, 3, 4, 5 respectively represent the time when the vehicle passes the zone at the speed of normal travel within the zone.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
As shown in fig. 1, a method for determining illegal behaviors of fatigue driving on an expressway comprises the following specific steps:
1) extracting video streams and bayonet images of a bayonet system in a highway jurisdiction, analyzing, processing and converting the video streams and the bayonet images into structured data, wherein the structured data comprises a vehicle number plate, a number plate color, a vehicle type, time for a vehicle to be captured by the bayonet system and a vehicle speed for the vehicle to pass through the bayonet system; wherein, the card interface system in the step 1) adopts a local database: such as a skynet project bayonet system or a snow project bayonet system; or the public security traffic control department card port system in the step 1) adopts a same-network heterogeneous database: for example, various mutually independent bayonet system databases built by different police departments and different regional police departments in the public security information network are associated and fused with vehicle passing data pushed by the traffic industry department, so that the monitoring range of the vehicle is expanded.
The association and fusion refer to processing data of systems built by different departments, uniformly processing the data into structured data fields which can be identified and utilized by a computer system, such as information of vehicle numbers, vehicle colors, vehicle types, time of vehicles captured by a bayonet system, vehicle speed of vehicles passing through the bayonet system and the like, automatically comparing the information, eliminating repeated data in the data, fusing the data into a new data pool, analyzing and processing the data in the data pool according to the judgment method of claim 1, and having the advantages of being more detailed, more rigorous and more scientific through the associated and fused data pool.
2) The method comprises the steps of screening and comparing structural data by utilizing a normal distribution technology, grouping vehicles running on a highway by taking the type of the vehicle, the speed of the vehicle passing through a gate system and the time of the vehicle captured by the gate system as screening conditions, measuring and calculating the intermediate speed value (average speed) of a target vehicle type in each gate interval of the jurisdiction area, obtaining the passing time value of the target vehicle type in each interval, and setting a data comparison interval by taking the sum of the passing time of the vehicle in each interval as reference.
3) Comparing the driving mileage of the vehicle with the interval reference mileage of which the driving time in the district reaches 4 hours with the interval reference mileage, and preliminarily judging whether the target vehicle has illegal behaviors that the continuous driving time exceeds 4 hours and is not stopped or the time for stopping and having a rest is not 20 minutes; and the artificial intelligence technology of big data and cloud computing is utilized to carry out data collision comparison on data fields of the vehicle number plate, the vehicle running time and the vehicle running mileage, so as to preliminarily screen out the suspected vehicle with the fatigue driving illegal behaviors.
If T1+ T2+ T3+ T4=4 hours, S1+ S2+ S3+ S4= S, S is the mileage of 4 hours of continuous running under the normal condition of the target vehicle type, and S can be used as a reference value for judging whether the fatigue driving behavior exists in the district of the target vehicle by using the system; t1, T2, T3 and T4 respectively indicate the travel time in section 1, section 2, section 3 and section 4, and S1, S2, S3 and S4 respectively indicate the number of travel steps in section 1, section 2, section 3 and section 4;
the driving mileage when the continuous driving time of the vehicle a reaches 4 hours is represented by Sa, which is calculated from the time when the vehicle a passes through the gate 1:
3.1) if Sa is less than S, the vehicle A is stopped in the middle of passing through the section 1, the section 2, the section 3 and the section 4, the probability of fatigue driving of the driver is low, and the system can automatically exclude the vehicle A from the screening range;
3.2) if Sa is greater than or equal to S, the fact that the vehicle A does not stop in the passing interval 1, the interval 2, the interval 3 and the interval 4 indicates that the driver may continuously drive the motor vehicle for 4 hours, the system can bring the vehicle A into a suspected vehicle primary screening library, and further judge whether fatigue driving behaviors exist according to the passing time Ta5 of the vehicle A in the interval 5;
3.3) if Ta5 is more than or equal to T5+20 minutes, the possibility that the vehicle A stops and has a rest for 20 minutes in the interval 5 is high, and the system automatically excludes the suspected vehicle primary screening library;
3.4) if Ta5 is less than T5+20 minutes, the vehicle A has larger possibility of fatigue driving, and the system can mark the vehicle A as a fatigue driving vehicle and transfer the vehicle A to an off-site proofreading library for manual proofreading;
4) and then, carrying out manual secondary examination and verification on the characteristic information of the driver in the bayonet picture, and obtaining evidence and checking and warehousing data really having continuous driving behaviors of the same driver to form off-site illegal data information, wherein the specific steps are as follows: the checking personnel compares the appearance, clothing and other dominant characteristics of the driver through the vehicle-passing pictures of all the checkpoints along the total interval of the vehicle A extracted by the comparison system, judges whether the vehicle A is driven by a single driver in the running process of the total interval, and if so, can determine the illegal behaviors of fatigue driving and take the illegal behaviors into an off-site library for punishment; otherwise, the related data is deleted.
5) The off-site illegal data information is automatically pushed to the police power of the nearby road surface through the public security mobile police service system, and accurate management and control of key suspect vehicles are achieved.
The method can also utilize the APP information of the mobile internet to position the suspected vehicle to guide the accurate management and control of the road surface police force; on the basis of a public security traffic control department checkpoint system, key vehicles which are likely to cause fatigue driving, such as vehicle driving mileage, a vehicle driving time exceeding a four-hour travel or drunk driving existing at night, are screened primarily by using navigation data, manifest information, overnight driving information (a vehicle owner who has driving behaviors on the past day has a high probability of drinking, and the driving state of a driver on the next day) and the like in mobile internet APP such as Baidu maps, Gaode navigation, truck sides, drippage driving and the like, and are explored, and then the related early warning information is automatically pushed to the nearby road surface police strength through a public security mobile police service system, so that accurate management and control on key suspected objects are achieved.
Claims (5)
1. A method for judging illegal behaviors of fatigue driving on a highway is characterized by comprising the following steps:
1) extracting video streams and bayonet images of a bayonet system in a highway jurisdiction, analyzing, processing and converting the video streams and the bayonet images into structured data, wherein the structured data comprises a vehicle number plate, a number plate color, a vehicle type, time for a vehicle to be captured by the bayonet system and a vehicle speed for the vehicle to pass through the bayonet system;
2) screening and comparing the structured data by utilizing a normal distribution technology, grouping vehicles running on the expressway by taking the vehicle type, the vehicle speed of the vehicle passing through a gate system and the time of the vehicle captured by the gate system as screening conditions, measuring and calculating the intermediate speed value of the target vehicle type in the normal running of each gate interval in the jurisdiction so as to obtain the normal running time value of the target vehicle type in the interval, and setting a data comparison interval by taking the sum of the passing time of the vehicle in each interval as reference;
3) comparing the vehicle driving mileage with an interval reference mileage, wherein the driving time of the vehicle reaches 4 hours in the jurisdiction, the interval reference mileage is compared, whether the target vehicle has illegal behaviors that the continuous driving time exceeds 4 hours and is not stopped or the parking time has not been stopped for 20 minutes is preliminarily judged, and data collision comparison is carried out on data fields of a vehicle number plate, the vehicle driving time and the vehicle driving mileage by using an artificial intelligence technology of big data and cloud computing, so that the suspected vehicle with the illegal behaviors of fatigue driving is preliminarily screened out;
4) then, manually checking the characteristic information of the driver in the bayonet picture for the second time, and obtaining evidence and checking and warehousing data of the continuous driving behavior of the same driver to form off-site illegal data information;
5) and finally, automatically pushing the off-site illegal data information to the police power of the nearby road surface through a public security mobile police system, and realizing accurate management and control of key suspect vehicles.
2. The method as claimed in claim 1, wherein, if T1+ T2+ T3+ T4=4 hours is set in step 3), S1+ S2+ S3+ S4= S, S is the number of miles continuously driven for 4 hours under normal conditions of the target vehicle type, and S can be used as a reference value for systematically judging whether the target vehicle has a fatigue driving behavior in the prefecture; t1, T2, T3 and T4 respectively indicate the travel time in section 1, section 2, section 3 and section 4, and S1, S2, S3 and S4 respectively indicate the number of travel steps in section 1, section 2, section 3 and section 4;
the driving mileage when the continuous driving time of the vehicle a reaches 4 hours is represented by Sa, which is calculated from the time when the vehicle a passes through the gate 1:
3.1) if Sa is less than S, the vehicle A is stopped in the middle of passing through the section 1, the section 2, the section 3 and the section 4, the probability of fatigue driving of the driver is low, and the system can automatically exclude the vehicle A from the screening range;
3.2) if Sa is greater than or equal to S, the fact that the vehicle A does not stop in the passing interval 1, the interval 2, the interval 3 and the interval 4 indicates that the driver may continuously drive the motor vehicle for 4 hours, the system can bring the vehicle A into a suspected vehicle primary screening library, and further judge whether fatigue driving behaviors exist according to the passing time Ta5 of the vehicle A in the interval 5;
3.3) if Ta5 is more than or equal to T5+20 minutes, the possibility that the vehicle A stops and has a rest for 20 minutes in the interval 5 is high, and the system automatically excludes the vehicle A from a suspected vehicle primary screening library, wherein the running time in the interval 5 is T5;
3.4) if Ta5 is less than T5+20 minutes, then vehicle A has a greater likelihood of fatigue driving, and the system can mark it as a fatigue driving vehicle and move to an off-site collation library for manual collation.
3. The method for determining the illegal behavior of fatigue driving on the expressway according to claim 1, wherein the interface system in the step 1) adopts a local database: such as a skynet project bayonet system or a snow project bayonet system.
4. The method for determining the illegal behavior of fatigue driving on the expressway according to claim 1, wherein the interface system in the step 1) adopts a same-network heterogeneous database: for example, various mutually independent bayonet system databases built by police departments of different police types and different regional police departments in the public security information network are associated and fused with vehicle passing data pushed by the traffic industry department, and the structured data are automatically compared with information to remove repeated data in the data, so that the repeated data are fused into a new data pool, and the monitoring range of the vehicle is expanded.
5. The method for determining the illegal behavior of fatigue driving on the expressway according to claim 1, wherein the step 4) is specifically as follows: the checking personnel compares the appearance and the clothing dominant characteristics of the driver through the vehicle-passing pictures of all the checkpoints along the total interval of the vehicle A extracted by the comparison system, judges whether the vehicle A is driven by a single driver in the running process in the total interval, and if so, can determine the illegal behaviors of fatigue driving and take the illegal behaviors into an off-site library for punishment; otherwise, the related data is deleted.
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| CN112598912A (en) * | 2020-12-10 | 2021-04-02 | 佳都新太科技股份有限公司 | Bayonet interval acquisition method and device, computer equipment and storage medium |
| CN114172871A (en) * | 2021-12-13 | 2022-03-11 | 以萨技术股份有限公司 | Data processing system, method and storage medium based on video violation detection |
| CN115512550A (en) * | 2022-09-22 | 2022-12-23 | 青海省公安交通警察总队高速公路支队 | Freight vehicle overtime driving inspection auxiliary system and method |
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